{
  "url": "https://engine-asia.com/en/companies/ryosho-thailand/news/products/ba2a6979aa",
  "kind": "detail",
  "locale": "en",
  "updatedAt": "2026-10-26",
  "title": "Centralized AI Management and Optimization of Factory Utilities: EneAi⁺, RYODEN’s Proprietary AI Energy-Saving System | ENGINE.",
  "description": "RYOSHO タイランドが提供する AI 省エネシステム「R-CIC」は、工場のエアコンプレッサーやチラーなどのユーティリティ設備を一元管理・最適化。既存設備を活かした電力コスト削減、安定供給、設備管理の効率化を支援します。",
  "about": [
    "Products & Services"
  ],
  "entityType": "news",
  "answer": "EneAi⁺, the AI-powered energy-saving system offered by RYOSHO Thailand, centrally manages and optimizes factory utility equipment such as air compressors and chillers. It helps reduce electricity costs, maintain a stable utility supply, and streamline equipment management while making use of existing equipment.\n",
  "keyPoints": null,
  "blocks": [
    {
      "body": "EneAi⁺ collects and analyzes real-time data on equipment operating status, electricity consumption, pressure, temperature, and flow, then uses AI to optimize equipment operation.\n\nUnlike equipment management that relies on operator experience or fixed setpoints, EneAi⁺ uses data-driven automatic control to reduce excessive operation and energy losses.\n\nThe system has three main functions:\n\n- Real-time visualization: Monitor equipment operation and energy consumption to help identify abnormalities and waste.\n- AI-driven optimal control: Automatically adjust the number of units in operation and operating setpoints according to production load and equipment efficiency.\n- More efficient equipment management: Support early detection of potential failures, maintenance management, and reliable equipment operation.\n\nThe main applications are air compressor systems and chiller-based central air conditioning systems. Rather than managing each unit in isolation, EneAi⁺ controls equipment with the operating efficiency of the entire utility system in mind.",
      "heading": "How Does AI Help Save Energy in Utility Systems?",
      "imageSize": "medium",
      "images": [
        {
          "alt": "▲ Example of how the solution tracks measurable value in practical applications",
          "caption": "▲ Example of how the solution tracks measurable value in practical applications",
          "src": "/assets/media/RCIC-1.webp"
        }
      ]
    },
    {
      "body": "A key feature of EneAi⁺ is its ability to optimize operation using AI while making use of existing equipment.\n\nFor air compressors, for example, the system optimizes the number of units in operation and the supply pressure according to compressed air demand. In chiller systems, it coordinates chillers, cooling towers, and pumps to improve the energy efficiency of the system as a whole.\n\n### Key Features of EneAi⁺\n\n- Centralized monitoring of operating status and electricity consumption across multiple units\n- AI-based demand forecasting and optimized operating control\n- Energy savings that make use of existing equipment\n- More efficient maintenance management through anomaly detection and data analysis\n\nIn addition to reducing electricity costs, these features can help reduce the workload of equipment managers and lessen reliance on individual operators’ knowledge and experience.",
      "heading": "EneAi⁺ Features and Benefits",
      "imageSize": "medium",
      "images": [
        {
          "alt": "▲ A dedicated dashboard visualizes equipment operating status",
          "caption": "▲ A dedicated dashboard visualizes equipment operating status",
          "src": "/assets/media/RCIC-2.webp"
        }
      ]
    },
    {
      "body": "As energy savings from individual units approach their limits, RYOSHO has opened up a new field: AI control specifically designed for compressors and chillers, an approach rarely seen in the industry. By managing the entire utility system as an integrated whole, this distinctive solution enables substantial cost reductions that isolated equipment optimization could not achieve.\n\nWe do not recommend investments without a clear financial benefit. Before implementation, we thoroughly analyze factory operating data and run preliminary simulations using our proprietary algorithms. If the results do not indicate a payback period within a target range of two to five years, we will not push ahead with a proposal. Another advantage is that operating improvements can be considered using the capabilities of existing equipment, without assuming a complete equipment replacement.\n\n### Air Compressor Illustration: Nine Units\nAnnual electricity consumption: 3.6 million kWh (THB 14.4 million/year) × 7% energy savings ≈ 250,000 kWh/year\nEquivalent to approximately THB 1 million/year, or JPY 4.8 million/year\nInvestment: JPY 20 million for nine units\nPayback period: JPY 20 million ÷ JPY 4.8 million/year = 4.2 years. With 50% BOI support, the payback period would be 2.1 years.",
      "heading": "Assessing Savings Before Implementation to Clarify the Return on Investment"
    },
    {
      "body": "EneAi⁺ is being introduced across Asia, including China, Japan, Thailand, Vietnam, and Malaysia. It has been adopted primarily by manufacturers with advanced energy management needs, including electrical equipment and automotive manufacturers, and has gained recognition across a wide range of industries. The AI energy-saving solution has a track record at more than 2,000 manufacturing companies, mainly in China.\n\n### Case Study 1: A Japanese Automaker’s Factory in China\nAI coordinates the operation of multiple air compressor stations to optimize supply efficiency. Reported results include annual electricity savings of approximately 2.42 million kWh and a reduction in CO₂ emissions of approximately 1,089 metric tons.\n\n### Case Study 2: A Japanese Precision Electronic Components Manufacturer’s Factory in China\nIn one project, centralized monitoring and AI control of multiple air compressors reduced equipment energy consumption by approximately 10%.\n\n### Case Study 3: A Cleanroom at a Japanese Precision Electronics Factory in China\nAI control of chiller-based central air conditioning reportedly achieved average energy savings of 37% across the system and reduced annual electricity costs by approximately JPY 60 million.\n\nThese results are from installations in China. Actual savings and returns on investment vary depending on the equipment and operating environment.",
      "heading": "AI Energy-Saving Solutions Reaching Around 2,000 Manufacturing Companies"
    },
    {
      "body": "Effective factory energy savings require a review of the entire utility system, not just individual units. Our AI solution simultaneously addresses three needs shared across countries and industries: reliable supply, energy savings, and reduced staffing requirements. While adoption is growing mainly in manufacturing, its potential extends beyond factories.\n\nLarge facilities with extensive air conditioning systems, such as shopping malls and hotels requiring round-the-clock operation, are also actively considering the solution as a way to reduce operating workloads and achieve substantial cost savings.",
      "bodyAfter": "At RYOSHO Thailand, we draw on the RYODEN Group’s technology and track record to propose energy-saving solutions tailored to your existing equipment and operating conditions. We can support you from the preliminary simulation stage.\n\n\n**If you are considering reducing factory electricity costs, optimizing air compressor or chiller operation, or streamlining equipment management in Thailand, please feel free to contact us.**",
      "heading": "Combining Reliable Utility Supply with AI-Powered Energy Savings",
      "imageSize": "medium",
      "images": [
        {
          "alt": "▲ Example equipment configuration for retrofitting the solution to an existing system",
          "caption": "▲ Example equipment configuration for retrofitting the solution to an existing system",
          "src": "/assets/media/RCIC-3.webp"
        }
      ]
    }
  ],
  "featuredCompany": {
    "name": "RYOSHO (THAILAND) CO., LTD.",
    "url": "https://engine-asia.com/en/companies/ryosho-thailand"
  },
  "related": [
    {
      "title": "Bringing New Possibilities to Thailand Through Japanese Quality｜RYOSHO Tackles Factory Heat with Kubota's AREA Air Conditioner",
      "url": "https://engine-asia.com/en/companies/ryosho-thailand/news/products/aa131e3f7e",
      "date": "2026-11-01"
    }
  ],
  "publisher": {
    "name": "ENGINE MEDIA SOLUTIONS ASIA CO., LTD.",
    "url": "https://engine-asia.com/jp"
  },
  "company": {
    "name": "RYOSHO (THAILAND) CO., LTD.",
    "url": "",
    "email": "",
    "telephone": "+66-2-670-0385（バンコク本社）",
    "address": {
      "addressCountry": "TH",
      "map": "<iframe src=\"https://www.google.com/maps/embed?pb=!1m18!1m12!1m3!1d3875.9522380254016!2d100.5300649!3d13.7213415!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x30e29f32d062e939%3A0x27567e50493012f0!2sRyosho%20Thailand%20Co.%2CLtd.!5e0!3m2!1sja!2sth!4v1792340197057!5m2!1sja!2sth\" width=\"600\" height=\"450\" style=\"border:0;\" allowfullscreen=\"\" loading=\"lazy\" referrerpolicy=\"strict-origin-when-cross-origin\"></iframe>",
      "postalCode": "10120",
      "label": "Bangkok Head Office",
      "streetAddress": "Unit 1507, Empire Tower, 15th Floor, 1 South Sathorn Road, Yannawa, Sathorn, Bangkok 10120, Thailand"
    }
  },
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      "id": "news-ba2a6979aa-faq",
      "type": "faq",
      "heading": "FAQ",
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  "lists": [],
  "faq": [
    {
      "id": "news-ba2a6979aa-faq-1",
      "question": "What is EneAi⁺?",
      "answer": "EneAi⁺ is an energy-saving system that uses AI to centrally manage and optimize the operation of factory utility equipment. It collects and analyzes equipment data to reduce electricity consumption while maintaining a stable supply."
    },
    {
      "id": "news-ba2a6979aa-faq-2",
      "question": "What types of factory equipment can be controlled using AI?",
      "answer": "The main applications are air compressor systems and chiller-based central air conditioning systems. The solution optimizes the combined operation of multiple units, including air compressors, chillers, cooling towers, and pumps."
    },
    {
      "id": "news-ba2a6979aa-faq-3",
      "question": "Can EneAi⁺ be installed on existing air compressors and chillers?",
      "answer": "Yes. EneAi⁺ is designed to save energy by making use of existing equipment. However, compatibility depends on factors such as the manufacturer, model, control method, and communications environment, so a preliminary assessment is required."
    },
    {
      "id": "news-ba2a6979aa-faq-4",
      "question": "How does AI reduce factory electricity consumption?",
      "answer": "AI analyzes operating data, production load, pressure, temperature, and flow to optimize the number of units in operation and their setpoints according to the required supply. The aim is to save energy by avoiding excessive operation and unnecessary consumption."
    },
    {
      "id": "news-ba2a6979aa-faq-5",
      "question": "What level of energy savings can be expected from EneAi⁺?",
      "answer": "A Japanese precision electronic components manufacturer in China achieved approximately 10% lower energy consumption in its air compressor system. Average energy savings of 37% have also been reported for cleanroom air conditioning in China. Actual savings depend on the equipment configuration and operating conditions."
    },
    {
      "id": "news-ba2a6979aa-faq-6",
      "question": "Can the compressed air and chilled water supply needed for production be maintained?",
      "answer": "EneAi⁺ optimizes equipment operation while taking the required supply conditions into account. By adjusting control in response to changing production loads, it aims to combine reliable supply with energy savings. Specific control conditions are determined according to the equipment concerned."
    },
    {
      "id": "news-ba2a6979aa-faq-7",
      "question": "Can energy savings and the payback period be assessed before implementation?",
      "answer": "Yes. After reviewing the equipment configuration and operating conditions, a preliminary assessment can estimate the expected energy savings and required investment. The payback period varies with factors such as operating conditions, electricity tariffs, and implementation scale."
    },
    {
      "id": "news-ba2a6979aa-faq-8",
      "question": "Can we consult you about implementing EneAi⁺ in Thailand?",
      "answer": "Yes. RYOSHO (THAILAND) CO., LTD. welcomes inquiries about the RYODEN Group’s AI energy-saving solutions. We propose energy-saving measures and equipment management improvements tailored to the operating conditions of your factory’s air compressors and chillers."
    }
  ]
}
